Polar designs, deploys and supports Kubernetes and cloud infrastructure for applications that have moved beyond simple hosting. Whether you're building a new platform, moving an existing application into containers, or trying to make an inherited Kubernetes environment manageable, we start with what the workload actually needs — then build the infrastructure around it.
A production platform needs more than a Kubernetes cluster. Applications depend on networking, storage, ingress, DNS, certificates, secrets, monitoring, backups, deployment processes and the underlying compute — getting those pieces to work together reliably is the infrastructure problem. Polar approaches Kubernetes as one component of the wider platform. And if your workload doesn't need Kubernetes, we'll say so — sometimes a well-designed container or virtual-machine environment is the better answer.
Architecture and deployment of Kubernetes environments designed around the applications that will actually run on them.
Help with clusters that have become difficult to operate, understand or maintain. We start with what exists before deciding whether anything needs rebuilding.
Docker and containerised application environments where repeatable deployment is needed without necessarily introducing Kubernetes.
Compute, networking, storage and supporting cloud services designed as one operating environment.
Connecting hosted, private and cloud infrastructure where the workload requires more than one environment.
Monitoring, backups, upgrades and operational processes around production infrastructure, where included within the engagement.
Application, through deployment, containers, Kubernetes, storage and networking, compute, and finally cloud, hosted or on-premise infrastructure. Not every application needs every layer — we work backwards from the application rather than forwards from a technology catalogue.
Maybe your environment works but nobody wants to touch it. Maybe deployment has become complicated, or costs have grown, or monitoring is incomplete. Or perhaps you're simply unsure whether the current architecture is still appropriate. We start by understanding what you've already built, then determine what should be retained, simplified, improved or replaced.
The same infrastructure capability supports conventional applications, SaaS platforms, internal systems and emerging AI workloads. Where your requirement involves private models, RAG, AI applications or agents, our dedicated AI Infrastructure practice takes the same engineering approach to those workloads. Explore AI Infrastructure →
We use Kubernetes where it provides a genuine operational benefit — not because every application is expected to have it.
Cloud platforms still depend on networks. We consider connectivity, routing and security as part of the architecture.
Polar can remain responsible for agreed infrastructure after deployment.
Discuss the platform with people who understand how it's built.
You don't need a finished architecture. Tell us about the application, the current environment and what needs to change — we'll start there.